Skip to main content
SpringerLink
Log in

Analysis of Microarray Gene Expression Data

  • Book
  • © 2004

Overview

Authors:
  1. Mei-Ling Ting Lee

    1. Channing Laboratory Department of Medicine, Brigham and Women’s Hospital, Boston, USA
      Harvard Medical School, Boston, USA

    View author publications

    You can also search for this author in PubMed   Google Scholar

This is a preview of subscription content, log in via an institution to check access.

Access this book

Log in via an institution
eBook USD 129.00
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book USD 169.00
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book USD 169.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Other ways to access

Licence this eBook for your library

Institutional subscriptions

Table of contents (20 chapters)

  1. Front Matter

    Pages i-xvii
    Download chapter PDF

  4. Unsupervised Exploratory Analysis

    1. Cluster Analysis

      Pages 237-250

    2. Principal Components and Singular Value Decomposition

      Pages 251-259

    3. Self-organizing Maps

      Pages 261-273

  5. Supervised Learning Methods

    1. Discrimination and Classification

      Pages 277-286

    2. Artificial Neural Networks

      Pages 287-300
Back to top

Keywords

About this book

After genomic sequencing, microarray technology has emerged as a widely used platform for genomic studies in the life sciences. Microarray technology provides a systematic way to survey DNA and RNA variation. With the abundance of data produced from microarray studies, however, the ultimate impact of the studies on biology will depend heavily on data mining and statistical analysis. The contribution of this book is to provide readers with an integrated presentation of various topics on analyzing microarray data.

Reviews

From the reviews:

"This book aims to be a comprehensive work on statistical techniques for analysis of microarray data. … the book contains an elaborate discussion on several variants of useful ANOVA models. … Standard multiple testing and permutation methods are well illustrated. … In conclusion, the book is a successful attempt to be a complete reference work for microarray data analysis. It is certainly a rich source of references." (M. A. van de Wiel, Kwantitatieve Methoden, Issue 3, 2006)

Authors and Affiliations

  • Channing Laboratory Department of Medicine, Brigham and Women’s Hospital, Boston, USA

    Mei-Ling Ting Lee

  • Harvard Medical School, Boston, USA

    Mei-Ling Ting Lee

Bibliographic Information

Publish with us

Policies and ethics

Back to top

Search

Navigation